Analysis method and semiconductor etching apparatus

ABSTRACT

There is provided a method of analyzing data obtained from an etching apparatus for micromachining a wafer using plasma. This method includes the following steps: acquiring the plasma light-emission data indicating light-emission intensities at a plurality of different wavelengths and times, the plasma light-emission data being measured under a plurality of different etching processing conditions, and being obtained at the time of the etching processing, evaluating the relationship between changes in the etching processing conditions and changes in the light-emission intensities at the plurality of different wavelengths and times with respect to the wavelengths and times of the plasma light-emission data, and identifying the wavelength and the time of the plasma light-emission data based on the evaluation result, the wavelength and the time being to be used for the adjustment of the etching processing condition.

INCORPORATION BY REFERENCE

The present application claims priority from Japanese application JP2013-194812 filed on Sep. 20, 2013, the content of which is hereby incorporated by reference into this application.

BACKGROUND OF THE INVENTION

The present invention relates to a method of analyzing data obtained from a semiconductor etching apparatus for micromachining a semiconductor wafer using plasma, and this semiconductor etching apparatus.

In order to acquire the microscopic shape of a semiconductor device formed on a wafer, the following etching processing is performed: Namely, a substance is brought into its ionized state (i.e., its plasma state). Moreover, the substances existing on the wafer are removed by the action (i.e., reaction on the wafer surface) performed by this plasma-state substance.

An ionization phenomenon based on plasma is accompanied by the resultant light-emission phenomenon. Accordingly, an optical emission spectroscopy (:OES) is mounted on a plasma-used etching processing apparatus so that the light emitted from the plasma can be monitored. The data measured and acquired using this optical emission spectroscopy, hereinafter, will be referred to as “OES data”. Also, the following control technique is applied to this etching processing apparatus: Namely, in this control technique, the etching processing result is stabilized by measuring the OES data, and adjusting the etching processing condition in accordance with the measurement result of the OES data.

The OES data is configured from the values of the light-emission intensities at a plurality of wavelengths and times. The adjustment of the etching processing condition requires that a wavelength and a time be selected out of this OES data. Here, it has become a problem that a suitable combination of the wavelength and the time be selected from among these plurality of wavelengths and times. As the method for selecting the wavelength to be used for the control over the etching processing, there have been known methods disclosed in JP-B-3732768. Here, the methods disclosed in JP-B-3732768 are as follows: The method of predicting the etching processing result by selecting the wavelength of the plasma light-emission using the aperture ratio, and the method of adjusting the etching processing condition in accordance with the prediction result.

In the methods disclosed in JP-B-3732768, however, no consideration is given to the fact that a variation occurs in the OES data if the etching processing condition is adjusted. On account of this, depending on the wavelength and time selected, a variation occurs in the OES data if the etching processing condition is adjusted. As a result, it has become a problem that the etching processing condition cannot be adjusted suitably.

SUMMARY OF THE INVENTION

In view of this situation, an object of the present invention is as follows: Namely, a wavelength and a time, which allow implementation of the stabilization of the etching processing result, are selected by way of giving consideration to a variation occurring in the OES data at the adjustment time of the etching processing condition.

In order to accomplish the above-described object, an analysis method of the present invention is implemented as follows: An analysis method of identifying a wavelength and a time of plasma light-emission data, the wavelength and the time of the plasma light-emission data being to be used for the adjustment of an etching processing condition in a semiconductor etching processing for applying the etching processing to a semiconductor wafer using the plasma, the analysis method including an acquisition step of acquiring the plasma light-emission data indicating light-emission intensities at a plurality of different wavelengths and times, the plasma light-emission data being measured under a plurality of different etching processing conditions, and being obtained at the time of the etching processing, a first evaluation step of evaluating the relationship between changes in the etching processing conditions and changes in the light-emission intensities at the plurality of different wavelengths and times with respect to the wavelengths and times of the plasma light-emission data, and an identification step of identifying the wavelength and the time of the plasma light-emission data based on the result of the first evaluation step, the wavelength and the time of the plasma light-emission data being to be used for the adjustment of the etching processing condition.

The analysis method further includes a second evaluation step of evaluating the relationship between the light-emission intensities at the plurality of different wavelengths and times of the plasma light-emission data, and the etching processing result. Moreover, at the above-described identification step, the wavelength and the time of the plasma light-emission data are identified from the result of the first evaluation step and the result of the second evaluation step, the wavelength and the time of the plasma light-emission data being to be used for the adjustment of the etching processing condition.

ADVANTAGEOUS EFFECTS

According to the present invention, it becomes possible to select a wavelength and a time which are to be used for the control over the etching processing. This selection is made possible by way of giving consideration to a variation in the OES data caused by the change in the etching processing condition. This feature allows implementation of the stabilization of the etching processing result.

Other objects, features and advantages of the invention will become apparent from the following description of the embodiments of the invention taken in conjunction with the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a configuration diagram for illustrating the configuration of an etching apparatus according to an embodiment of the present invention;

FIG. 2 is a configuration diagram for illustrating the configuration of an etching unit according to an embodiment of the present invention;

FIG. 3 is an explanatory diagram for explaining an example of the OES data;

FIG. 4 is an explanatory diagram for explaining an example of the control of adjusting the etching processing condition;

FIG. 5 is a diagram for illustrating a table example of the mass-production data according to an embodiment of the present invention;

FIG. 6 is a diagram for illustrating a table example of the experiment data according to an embodiment of the present invention;

FIG. 7 is a diagram for illustrating a table example of the OES data according to an embodiment of the present invention;

FIG. 8 is a diagram for illustrating a table example of the condition-result data according to an embodiment of the present invention;

FIG. 9 is a diagram for illustrating a table example of the calculation data for calculating an evaluation value 1 according to an embodiment of the present invention;

FIG. 10 is a diagram for illustrating a table example of the calculation data for calculating an evaluation value 2 according to an embodiment of the present invention;

FIG. 11 is a diagram for illustrating an analysis processing flow by the analysis unit according to an embodiment of the present invention;

FIG. 12 is a diagram for illustrating the display screen according to an embodiment of the present invention;

FIG. 13 is an explanatory diagram for explaining the calculation processing for calculating the evaluation value 1 according to an embodiment of the present invention;

FIG. 14 is an explanatory diagram for explaining the calculation processing for calculating the evaluation value 2 according to an embodiment of the present invention; and

FIG. 15 is a diagram for illustrating the display screen according to an embodiment of the present invention.

DESCRIPTION OF THE EMBODIMENTS

Hereinafter, based on the drawings, the explanation will be given below concerning embodiments of the present invention. Incidentally, in all the drawings for explaining the embodiments, the same reference numerals will be affixed to the same configuration components in principle. Accordingly, their repeated explanations will be omitted below.

[Etching Apparatus]

In the present invention, as illustrated in the configuration diagram of an etching apparatus in FIG. 1, the etching apparatus 1 includes an etching unit 10, an analysis unit 20, an input unit 30, an output unit 31, and a communications IF unit 32. These components are connected to each other via a bus 33.

The etching unit 10 includes a plasma micromachining unit 11, an optical emission spectroscopy (:OES) 12, a control unit 13, and an IF unit 14. The plasma micromachining unit 11 generates plasma, thereby micromachining a wafer. The optical emission spectroscopy (:OES) 12 acquires OES data, i.e., light-emission data from the plasma, while the etching processing is underway. The OES data is stored via the IF unit 14 into a memory unit 22 included in the analysis unit 20. The control unit 13 controls the processing performed by the plasma micromachining unit 11. The details of the etching unit 10 will be explained later in FIG. 2.

The analysis unit 20 performs an analysis processing in accordance with an analysis method of identifying a wavelength and a time which are to be used for the control over the etching processing. The analysis unit 20 includes a calculation unit 21, the memory unit 22, and an IF unit 29. The calculation unit 21 applies the analysis processing to data. The memory unit 22 memorizes mass-production data, experiment data, the OES data, and condition-result data. Here, the mass-production data is data that is acquired when the etching processing is performed without making an adjustment of the etching processing condition. The experiment data is data that is acquired when the etching processing is performed after making a change in the etching processing condition. The OES data is the measurement data that is acquired by the optical emission spectroscopy (:OES) 12 while the etching processing is underway. The condition-result data is data that indicates the condition and result of the analysis processing performed by the calculation unit 21. Using the mass-production data and the OES data, the calculation unit 21 evaluates the relationship between the light-emission intensities and the etching processing result, in particular, a prediction error of the etching processing result. Also, using the experiment data and the OES data, the calculation unit 21 evaluates the relationship between the etching processing condition and the light-emission intensities, in particular, a prediction error of the light-emission intensities. Moreover, based on these two evaluations, the calculation unit 21 performs the processing of identifying the wavelength and the time which are to be used for the control over the etching processing. The details of the analysis processing performed by the calculation unit 21 will be explained later in FIG. 9.

The input unit 30 is a component such as, e.g., a mouse or keyboard for receiving an information input by the user operation. The output unit 31 is a component such as, e.g., a display or printer for outputting information to the user. The communications IF unit 32 is an interface for establishing the connection with other apparatuses (such as an inspection apparatus for measuring the etching processing result) or systems (such as an already-existing production-managing system) via the bus 33 or an external network, and performing information transmission/reception. The bus 33 connects the respective components (such as 10, 20, 30, 31, and 32) to each other. The IF unit (such as 14 or 29) of each component is an interface for performing the information transmission/reception via the bus 33. Incidentally, the following configuration is also allowable: Namely, the analysis unit 20 is made independent, and the independent analysis unit 20 is connected via the IF unit to the etching apparatus including the etching unit.

[Etching Unit]

The etching unit 10 includes the plasma micromachining unit 11, the optical emission spectroscopy (:OES) 12, the control unit 13, and the IF unit 14. As illustrated in FIG. 2, the plasma micromachining unit 11 includes a chamber 111, electrodes 112 a and 112 b, a window 115, and a gas supplier 117. Based on an instruction issued from the control unit 13, the plasma micromachining unit 11 stores a wafer 114 into the inside of the chamber 111. Moreover, the unit 11 supplies an etching gas from the gas supplier 117, then applying a voltage thereto using the electrodes 112 a and 112 b. This operation gives rise to the generation of a gas 113 that is brought into its plasma state. Furthermore, the unit 11 causes this plasma-state gas 113 to collide with the wafer 114, thereby micromachining the wafer 114. This gas 113 contains elements contained within the etching gas supplied from the gas supplier 117, and elements produced from the wafer 114 in the process of this micromachining. Accordingly, this gas 113 gives rise to the generation of light 116 whose wavelengths correspond to these elements contained within this gas. This generated light 116 is measured by the optical emission spectroscopy (:OES) 12 through the window 115. In addition to issuing the instruction to the plasma micromachining unit 11, the control unit 13 performs the processing of adjusting the etching processing condition, using the OES data measured by the optical emission spectroscopy (:OES) 12 as its input data. This adjustment processing is explained in an etching-processing-condition adjustment processing, which will be described later.

After the termination of the etching processing, the processed wafer 114 is transported to another apparatus (such as the inspection apparatus). Also, a new different wafer 114 is stored into the etching unit 10, then being subjected to the etching processing. The data such as the dimension of shape of each processed wafer 114, which is obtained as a result of the etching processing, is measured by another apparatus (such as the inspection apparatus).

[OES Data]

FIG. 3 illustrates an example of the OES data measured by the optical emission spectroscopy (:OES) 12. The OES data is equipped with two-dimensional variables of the wavelength to be measured and the time from the etching start. The OES data indicates the value of the light-emission intensity measured at each wavelength and that of the light-emission intensity measured at each time. In accompaniment with the ID of a wafer for which this OES data is measured, the values of the light-emission intensities measured at each wavelength and at each time are stored into an OES data memory area 25, which will be described later.

[Etching-Processing-Condition Adjustment Processing]

FIG. 4 illustrates an example of the etching-processing-condition adjustment processing performed by the control unit 13. The etching-processing-condition adjustment processing is a processing performed at the time of the etching processing. This adjustment processing can be performed for each wafer to which the etching processing is to be applied. Having received an instruction of adjusting the etching processing condition from the operator, the control unit 13 calculates the following values based on the OES data: Namely, the value of the light-emission intensity at a wavelength and a time which are determined in advance, or the average value of the light-emission intensities within sections of wavelengths and times which are determined in advance (S101).

Next, the control unit 13 performs the prediction of the etching processing result, using the light-emission intensity as its input data (S102). A101 illustrates an example of the prediction processing of the etching processing result performed at S102. A102 denotes the etching processing result, and the value of the light-emission intensity at the wavelength and the time which are determined in advance, or the average value of the light-emission intensities within the sections of the wavelengths and the times which are determined in advance. An individual point indicates an individual piece of wafer one by one. A102 shows that there is a correlation between the light-emission intensity and the etching processing result. A103 denotes an approximate straight line that is created from A102. For example, this approximate straight line is drawn so that the square sum-total of the distances from the respective points to this approximate straight line becomes equal to its minimum value. In the prediction processing at S102, using the approximate straight line of A103, the prediction value (pv) of the etching processing result is calculated from the light-emission intensity (ei) as is indicated by the dotted lines in the drawing. Incidentally, hereinafter, “time” will refer to “a time” or “a section of times”.

Moreover, the control unit 13 calculates a difference between a target value of the etching processing result and the prediction value (pv) of the etching processing result (S103). Furthermore, in accordance with this difference calculated, the control unit 13 calculates the adjustment value of the etching processing condition, e.g., the flow quantity of the etching gas (i.e., gas flow quantity) supplied from the gas supplier 117 (S104). After the termination of the etching-processing-condition adjustment processing, the control unit 13 performs the etching processing under this etching processing condition adjusted.

[Analysis Unit]

As illustrated in FIG. 1, the analysis unit 20 includes the calculation unit 21, the memory unit 22, and the IF unit 210. The memory unit 22 includes a mass-production data memory area 23, an experiment data memory area 24, the OES data memory area 25, and a condition-result data memory area 26.

The mass-production data memory area 23 stores therein information for identifying the ID of each wafer when the etching processing is applied to each wafer without making an adjustment of the etching processing condition, and information for identifying the etching processing result.

FIG. 5 illustrates a mass-production data table 23 a, i.e., an example of the mass-production data memory area 23. The present table 23 a includes fields such as a wafer ID field 23 b, an etching-processing-result field 23 c, and the like.

The wafer ID field 23 b stores therein the information for identifying each wafer 114. The value stored in the wafer ID field 23 b is caused to correspond to the value stored in the wafer ID field 25 b of an OES data table 25 a ( which will be described later). As a result, the OES data and the etching processing result, which are acquired when the etching processing is applied to each wafer, can be caused to correspond to each other. The etching-processing-result field 23 c stores therein information which, of the information for identifying good-or-bad quality of the etching processing result, is represented by a numerical value. For example, the field 23 c stores therein the following measurement result that is obtained as follows: Namely, after the etching processing, the surface shape of each wafer 114 identified by the wafer ID field 23 b is measured, using the inspection apparatus or the like connected to the etching apparatus 1. The dimension information on the surface shape measured on each wafer basis is stored into the mass-production data table 23 a via the communications IF unit 32. The dimension information is acceptable as long as it is close to a target value determined in a separate way. Also, in addition to the dimension information, the current value on each wafer may be measured and stored.

The experiment data memory area 24 stores therein information for identifying the ID of each wafer when the etching processing is applied to each wafer after making a change in the etching processing condition such as an experiment, information for identifying the etching processing condition, and information for identifying the etching processing result.

FIG. 6 illustrates an experiment data table 24 a, i.e., an example of the experiment data memory area 24. The present table 24 a includes fields such as a wafer ID field 24 b, an etching-processing-condition (i.e., gas-flow-quantity) field 24 c, an etching-processing-result field 24 d, and the like.

The wafer ID field 24 b stores therein the information for identifying each wafer 114. The value stored in the wafer ID field 24 b is caused to correspond to the value stored in the wafer ID field 25 b of the OES data table 25 a (which will be described later). As a result, the OES data, the etching processing condition at the time when the etching processing is performed, and the etching processing result, which are acquired when the etching processing is applied to each wafer, can be caused to correspond to each other. The etching-processing-condition (i.e., gas-flow-quantity) field 24 c stores therein information for identifying the etching processing condition at the time when the etching processing is performed. The etching processing condition stored into the field 24 c is the etching processing condition that is changed in the experiment made by the designer. The etching processing condition changed and stored is mainly the value of the flow quantity of the etching gas (i.e., gas flow quantity) supplied from the gas supplier 117. The etching processing condition changed and stored, however, may also be an etching processing condition other than the gas flow quantity, e.g., a voltage value at the time when the plasma is generated.

The etching-processing-result field 24 d stores therein the information which, of the information for identifying the good-or-bad quality of the etching processing result, is represented by a numerical value. For example, the field 24 d stores therein the following measurement result that is obtained as follows: Namely, after the etching processing, the surface shape of each wafer 114 identified by the wafer ID field 24 b is measured, using the inspection apparatus or the like connected to the etching apparatus 1. The dimension information on the surface shape measured on each wafer basis is stored into the experiment data memory area 24 via the communications IF unit 32.

FIG. 7 illustrates the OES data table 25 a, i.e., an example of the OES data memory area 25. The present table 25 a includes fields such as a wafer ID field 25 b, a light-emission intensity field 25 c, and the like. Incidentally, a plurality of tables 25 a exist in the number of the wafers whose OES data has been measured.

The wafer ID field 25 b stores therein the information for identifying each wafer 114. The value stored in the wafer ID field 25 b is caused to correspond to the values stored in the wafer ID field 23 b of the above-described mass-production data table 23 a and the wafer ID field 24 b of the above-described experiment data table 24 a.

The light-emission intensity field 25 c stores therein the value of the light-emission intensity measured at each wavelength and that of the light-emission intensity measured at each time.

FIG. 8 illustrates a condition-result data table 26 a, i.e., an example of the condition-result data memory area 26. The present table 26 a includes fields such as a condition ID field 26 b, a wavelength field 26 c, a time field 26 d, an etching-processing-condition field 26 e, an evaluation-value-1 field 26 f, an evaluation-value-2 field 26 g, a sum-total value field 26 h, and a sum-total value minimum field 26 i, and the like.

The condition ID field 26 b stores therein information for identifying the correspondence relationship between the data stored into each row of the condition-result data table 26 a, and data inputted on the screen illustrated in FIG. 10 (which will be described later). The wavelength field 26 c stores therein information for identifying a candidate of the wavelength at which the light-emission intensity is calculated in the etching-processing-condition adjustment processing illustrated in FIG. 4. The time field 26 d stores therein information for identifying a candidate of the time at which the light-emission intensity is calculated in the etching-processing-condition adjustment processing illustrated in FIG. 4. The etching-processing-condition field 26 e stores therein information for identifying the etching processing condition that is adjusted in the etching-processing-condition adjustment processing illustrated in FIG. 4.

The evaluation-value-1 field 26 f stores therein the following value: Namely, the etching processing condition stored into the etching-processing-condition field 26 e is adjusted using the light-emission intensities obtained at the wavelength stored into the wavelength field 26 c and the time stored into the time field 26 d. Then, this value is obtained as a result of evaluating the good-or-bad quality of this adjustment from the relationship between the values of the light-emission intensities and the value of the etching processing result. The evaluation-value-2 field 26 g stores therein the following value: Namely, the etching processing condition stored into the etching-processing-condition field 26 e is adjusted using the light-emission intensities obtained at the wavelength stored into the wavelength field 26 c and the time stored into the time field 26 d. Then, this value is obtained as a result of evaluating the good-or-bad quality of this adjustment from the relationship between the value of the etching processing condition and the values of the light-emission intensities. The sum-total value field 26 h stores therein the sum total of the value stored into the evaluation-value-1 field 26 f and the value stored into the evaluation-value-2 field 26 g. The sum-total value minimum field 26 i stores “∘” into its row in which the sum-total value stored into the sum-total value field 26 h is the smallest sum-total value.

FIG. 9 illustrates an evaluation-value-1 calculation data table 27 a, i.e., an example of the evaluation-value-1 calculation data memory area 27. The present table 27 a includes fields such as a light-emission intensity average value field 27 b, an etching-processing-result field 27 c, and the like. The light-emission intensity average value field 27 b stores therein a light-emission intensity average value that is obtained by averaging the values stored into the light-emission intensity fields 25 c of the OES data table 25 a. This storage of the light-emission intensity average value into the field 27 b is performed in the analysis processing (which will be described later).

The etching-processing-result field 27 c stores therein the value that is stored into the etching-processing-result field 23 c of the mass-production data table 23 a. This storage of the value into the field 27 c is performed in the analysis processing (which will be described later). FIG. 10 illustrates an evaluation-value-2 calculation data table 28 a, i.e., an example of the evaluation-value-2 calculation data memory area 28. The present table 28 a includes fields such as a light-emission intensity average value field 28 b, an etching-processing-condition (i.e., gas-flow-quantity) field 28 c, and the like.

The light-emission intensity average value field 28 b stores therein a light-emission intensity average value that is obtained by averaging the values stored into the light-emission intensity fields 25 c of the OES data table 25 a. This storage of the light-emission intensity average value into the field 28 b is performed in the analysis processing (which will be described later).

The etching-processing-condition (i.e., gas-flow-quantity) field 28 c stores therein the value that is stored into the etching-processing-condition (i.e., gas-flow-quantity) field 24 c of the experiment data table 24 a. This storage of the value into the field 28 c is performed in the analysis processing (which will be described later).

[Analysis Processing by Analysis Unit 20]

FIG. 11 illustrates the analysis processing that is mainly performed by the calculation unit 21 of the analysis unit 20. The processings such as S201 indicate the analysis processing performed by the analysis unit 20. The designer, who is going to introduce the etching-processing-condition adjustment processing into the etching apparatus 1, utilizes the present analysis processing in order to determine which wavelength and time should be used for the etching-processing-condition adjustment processing. On the display screen illustrated in FIG. 12, the designer inputs the wavelength, time, and etching processing condition to be evaluated, then giving an instruction of the calculation execution. Following this instruction, the analysis unit 20 executes the analysis processing, thereby outputting the wavelength and time suitable for the etching-processing-condition adjustment processing. This adjustment processing is a processing that is performed at a single time when a single process is introduced. Once the wavelength and time which should be used are determined, when performing the process corresponding thereto, it is all right just to carry out the processing illustrated in FIG. 4 using these wavelength and time determined.

A condition ID field D101 in FIG. 12 inputs therein information for identifying the wavelength, time, and etching processing condition to be used for the etching-processing-condition adjustment processing. If the value stored into the condition ID field D101 and the value stored into the condition ID field 26 b of the condition-result data table 26 a are equal to each other, it indicates that the respective rows are in a correspondence relationship with each other.

A wavelength field D102 inputs therein information for identifying a candidate of the wavelength to be used for the etching-processing-condition adjustment processing. A time field D103 inputs therein information for identifying a candidate of the time to be used for the etching-processing-condition adjustment processing. An etching-processing-condition field D104 inputs therein information for identifying a candidate of the etching processing condition to be used for the etching-processing-condition adjustment processing.

Incidentally, the wavelength inputted into the wavelength field D102 may be an automatically inputted wavelength determined in advance (e,g., wavelength determined with an equal interval set therebetween, such as 201, 211, or, . . . ). Also, the time inputted into the time field D103 may be an automatically inputted time determined in advance (e.g., time determined with an equal interval set therebetween, such as 1-10, 11-20, or, . . . ).

The designer presses a calculation execution D105, which executes the analysis processing to be performed by the analysis unit 20. Hereinafter, referring to FIG. 11, the explanation will be given below concerning the analysis processing.

(S201)

The calculation unit 21 stores the plural pieces of information, which are inputted into the condition ID field D101, the wavelength field D102, the time field D103, and the etching-processing-condition field D104, into the condition ID field 26 b, the wavelength field 26 c, the time field 26 d, and the etching-processing-condition field 26 e of the condition-result data table 26 a, respectively.

With respect to the combination of the wavelength, time, and etching processing condition which are stored into each row of the condition-result data table, 26 a, the calculation unit 21 executes the following processings from S202 to S205, starting sequentially from the uppermost row. At each of S202 to S205, the row that becomes the target of the processing will be referred to as “the concerned target row”.

(S202)

The calculation unit 21 calculates an average value of the light-emission intensities. Namely, the calculation unit 21 acquires the wavelength candidate and the time candidate which are stored into the concerned target row of the condition-result data table 26 a. Moreover, with respect to each column of the wafer ID field 23 b of the mass-production data table 23 a, the calculation unit 21 identifies an OES data table 25 a that is specified by the value stored into the wafer ID field 23 b. Furthermore, the calculation unit 21 calculates a light-emission intensity average value of the values that are stored into the light-emission intensity fields 25 c which are specified by the wavelength candidate and the time candidate. For example, if the wavelength candidate is 201, and if the time candidate is 1-10, the calculation unit 21 calculates a light-emission intensity average value of the values that are stored into the light-emission intensity fields 25 c whose wavelength is positioned in the 201 column, and whose time is positioned in the 1 to 10 rows. The light-emission intensity average value calculated and the value stored into the etching-processing-result field 23 c are respectively stored into the light-emission intensity average value field 27 b and the etching-processing-result field 27 c of the evaluation-value-1 calculation data table 27 a in such a manner that the correspondence relationship in the column is maintained.

Moreover, with respect to each column of the wafer ID field 24 b of the experiment data table 24 a, the calculation unit 21 identifies an OES data table 25 a that is specified by the value stored into the wafer ID field 24 b. Furthermore, the calculation unit 21 calculates a light-emission intensity average value of the values that are stored into the light-emission intensity fields 25 c which are specified by the wavelength candidate and the time candidate. The light-emission intensity average value calculated and the value stored into the etching-processing-condition (i.e., gas-flow-quantity) field 24 c are respectively stored into the light-emission intensity average value field 28 b and the etching-processing-condition (i.e., gas-flow-quantity) field 28 c of the evaluation-value-2 calculation data table 28 a in such a manner that the correspondence relationship in the column is maintained.

(S203)

The calculation unit 21 calculates the value of the evaluation value 1, then storing this calculated value into the concerned target row of the evaluation-value-1 field 26 f. Namely, the calculation unit 21 calculates the prediction error (e₁₁) that occurs when the etching processing result is predicted using the light-emission intensity, and the inclination (a₁₁) of a function that allows the etching processing result to be predicted using the light-emission intensity. These calculations are performed using the values stored into the evaluation-value-1 calculation data table 27 a, and the following Expressions (1) to (5):

$\begin{matrix} {\left\lbrack {{Expression}\mspace{14mu} 1} \right\rbrack \mspace{596mu}} & \; \\ {X_{11} = {{\sum x_{1\; i}^{2}} - \frac{\left( {\sum x_{1\; i}} \right)^{2}}{n}}} & (1) \\ {\left\lbrack {{Expression}\mspace{14mu} 2} \right\rbrack \mspace{596mu}} & \; \\ {X_{12} = {{\sum y_{1\; i}^{2}} - \frac{\left( {\sum y_{1\; i}} \right)^{2}}{n}}} & (2) \\ {\left\lbrack {{Expression}\mspace{14mu} 3} \right\rbrack \mspace{596mu}} & \; \\ {X_{13} = {{\sum{x_{1\; i}y_{1\; i}}} - \frac{\left( {\sum x_{1\; i}} \right)\left( {\sum y_{1\; i}} \right)}{n}}} & (3) \\ {\left\lbrack {{Expression}\mspace{14mu} 4} \right\rbrack \mspace{596mu}} & \; \\ {a_{11} = \frac{x_{13}}{x_{11}}} & (4) \\ {\left\lbrack {{Expression}\mspace{14mu} 5} \right\rbrack \mspace{596mu}} & \; \\ {e_{11} = \frac{\left( {x_{12} - {a_{11}x_{13}}} \right)}{n}} & (5) \end{matrix}$

In the present Expressions, the notation x_(1i) denotes the value stored into the i-th column of the light-emission intensity average value field 27 b of the evaluation-value-1 calculation data table 27 a. The notation y_(1i) denotes the value stored into the i-th column of the etching-processing-result field 27 c thereof. The notation n denotes the column number of the evaluation-value-1 calculation data table 27 a. The notation Σ denotes the summation taken for all of the columns n of the evaluation-value-1 calculation data table 27 a.

Next, referring to FIG. 13, the explanation will be given below concerning the meanings of the values calculated. FIG. 13 is a scatter diagram for illustrating the value stored into the light-emission intensity average value field 27 b and the value stored into the etching-processing-result field 27 c. Each point denoted by A201 in the (a) of the FIG. 13 indicates each value that is stored into each column of the evaluation-value-1 calculation data table 27 a. Namely, each point denoted by A201 is a point represented in a coordinate system where the value stored into the light-emission intensity average value field 27 b is taken along its transverse axis, and where the value stored into the etching-processing-result field 27 c is taken along its longitudinal axis. The straight line denoted by A202 is a straight line that is drawn so that the average of the square sum-total of the distances from the respective points to this straight line becomes equal to its minimum value.

The inclination (a₁₁) calculated in the Expression (4) indicates the inclination of the straight line denoted by A202. Also, the prediction error (e₁₁) calculated in the Expression (5) indicates the average of the square sum-total of the distances between the respective points and the straight line.

The (a) and (b) of the FIG. 13 are the scatter diagrams for indicating the average values of the light-emission intensities at mutually different wavelengths and times. Accordingly, the values of the etching processing result at each point are equal to each other, but the values of the light-emission intensities at each point are different from each other.

The prediction error (e₁₁) is calculated with respect to the data illustrated in the (a) of the FIG. 13 and the data illustrated in the (b) of the FIG. 13, respectively. This calculation results in the fact that the prediction error (e₁₁) becomes smaller in the data illustrated in the (a) of the FIG. 13. Namely, in the data illustrated in the (a) of the FIG. 13, each point distributes in more proximity to the straight line. This fact shows that the light-emission intensity average value illustrated in the (a) of the FIG. 13 is more suitable for the prediction of the etching processing result in the etching-processing-result prediction-value calculation processing described earlier (S102). By selecting a wavelength and a time at which the prediction error (e₁₁) becomes small, it becomes possible to select the wavelength and the time which are suitable for the etching-processing-result prediction-value calculation processing.

The calculated prediction error (e₁₁) is stored into the concerned target row of the evaluation-value-1 field 26 f as information for evaluating the good-or-bad quality of the wavelength candidate and the time candidate in the concerned target row.

Incidentally, even if some other value is a value other than the prediction error calculated here, this value may be used as long as it is a value that indicates a variation in the prediction result when the etching processing result is predicted using the light-emission intensity. For example, this value may be a correlation coefficient between the light-emission intensity average value and the etching processing result.

(S204)

The calculation unit 21 calculates the value of the evaluation value 2, then storing this calculated value into the concerned target row of the evaluation-value-2 field 26 g. Namely, the calculation unit 21 calculates the prediction error (e₂₁) that occurs when the light-emission intensity is predicted using the etching processing condition (i.e., gas flow quantity). This calculation is performed using the values stored into the evaluation-value-2 calculation data table 28 a, and the following Expressions (6) to (10):

$\begin{matrix} {\left\lbrack {{Expression}\mspace{11mu} 6} \right\rbrack \mspace{585mu}} & \; \\ {X_{21} = {{\sum x_{2\; i}^{2}} - \frac{\left( {\sum x_{2\; i}} \right)^{2}}{m}}} & (6) \\ {\left\lbrack {{Expression}\mspace{14mu} 7} \right\rbrack \mspace{580mu}} & \; \\ {X_{22} = {{\sum y_{2\; i}^{2}} - \frac{\left( {\sum y_{2\; i}} \right)^{2}}{m}}} & (7) \\ {\left\lbrack {{Expression}\mspace{14mu} 8} \right\rbrack \mspace{580mu}} & \; \\ {X_{23} = {{\sum{x_{2\; i}y_{2\; i}}} - \frac{\left( {\sum x_{2\; i}} \right)\left( {\sum y_{2\; i}} \right)}{m}}} & (8) \\ {\left\lbrack {{Expression}\mspace{14mu} 9} \right\rbrack \mspace{580mu}} & \; \\ {a_{21} = \frac{x_{23}}{x_{21}}} & (9) \\ {\left\lbrack {{Expression}\mspace{14mu} 10} \right\rbrack \mspace{571mu}} & \; \\ {e_{21} = \frac{\left( {x_{22} - {a_{21}x_{23}}} \right)}{m}} & (10) \end{matrix}$

In the present Expressions, the notation x_(2i) denotes the value stored into the i-th column of the etching-processing-condition (i.e., gas-flow-quantity) field 28 c of the evaluation-value-2 calculation data table 28 a. The notation y_(2i) denotes the value stored into the i-th column of the light-emission intensity average value field 28 b thereof. The notation m denotes the column number of the evaluation-value-2 calculation data table 28 a. The notation denotes the summation taken for all of the columns m of the evaluation-value-2 calculation data table 28 a.

Next, referring to FIG. 14, the explanation will be given below concerning the meanings of the values calculated. FIG. 14 is a scatter diagram for illustrating the value stored into the etching-processing-condition (i.e., gas-flow-quantity) field 28 c, and the value stored into the light-emission intensity average value field 28 b.

Each point denoted by A301 in the (a) of the FIG. 14 indicates each value that is stored into each column of the evaluation-value-2 calculation data table 28 a. Namely, each point denoted by A301 is a point represented in a coordinate system where the value stored into the etching-processing-condition field 28 c is taken along its transverse axis, and where the value stored into the light-emission intensity average value field 28 b is taken along its longitudinal axis. The straight line denoted by A302 is a straight line that is drawn so that the average of the square sum-total of the distances from the respective points to this straight line becomes equal to its minimum value.

The inclination (a₂₁) calculated in the Expression (10) indicates the average of the square sum-total of the distances between the respective points and this straight line. The (a) and (b) of the FIG. 14 are the scatter diagrams for indicating the average values of the light-emission intensities at mutually different wavelengths and times. Accordingly, the values of the etching processing condition (i.e., gas flow quantity) at each point are equal to each other, but the values of the light-emission intensities at each point are different from each other.

The prediction error (e₂₁) is calculated with respect to the data illustrated in the (a) of the FIG. 14 and the data illustrated in the (b) of the FIG. 14, respectively. This calculation results in the fact that the prediction error (e₂₁) becomes smaller in the data illustrated in the (a) of the FIG. 14. In the data illustrated in the (b) of the FIG. 14, however, a variation in the light-emission intensity average value becomes larger if the etching processing condition (i.e., gas flow quantity) becomes larger or smaller. At the time of adjusting the etching processing condition (i.e., gas flow quantity), the use of the light-emission intensity average value like this results in an increase in the prediction error of the etching processing result in the etching-processing-result prediction-value calculation processing described earlier (S102). Accordingly, by selecting a wavelength and a time at which the prediction error (e₂₁) becomes small, i.e., the wavelength and the time at which the variation in the light-emission intensity average value becomes small at the time of changing the etching processing condition (i.e., gas flow quantity), it becomes possible to select the wavelength and the time which are suitable for the etching-processing-result prediction-value calculation processing.

The contribution degree of the calculated prediction error (e₂₁) to the prediction error of the etching processing result is calculated as the product of the prediction error (e₂₁) and the inclination (a₁₁) described earlier. The product of the prediction error (e₂₁) and the inclination (a₁₁) described earlier is stored into the concerned target row of the evaluation-value-2 field 26 g as the information for evaluating the good-or-bad quality of the wavelength candidate and the time candidate in the concerned target row.

Incidentally, even if some other value is a value other than the prediction error calculated here, this value may be used as long as it is a value that indicates the magnitude of a variation in the light-emission intensity average value at the wavelength and the time when the etching processing condition is changed. For example, this value may be a correlation coefficient between the etching processing condition (i.e., gas flow quantity) and the light-emission intensity average value.

(S205)

The calculation unit 21 stores, into the concerned target row of the sum-total value field 26 h, the sum total of the value stored into the concerned target row of the evaluation-value-1 field 26 f and the value stored into the concerned target row of the evaluation-value-2 field 26 g.

(S206)

The calculation unit 21 executes the processings from S202 to S206 until the sum totals are stored into the sum-total value field 26 h with respect to all of the rows of the condition-result data table 26 a.

(S207)

The calculation unit 21 identifies a row in which the value stored into the sum-total value field 26 h is the smallest value. Hereinafter, this row identified will be referred to as “the concerned target row”. Moreover, the calculation unit 21 stores “∘” into the concerned target row of the sum-total value minimum field 26 i, then presenting, to the designer, the values stored into the concerned target row, and the scatter diagram.

FIG. 15 illustrates an output screen that the calculation unit 21 presents to the designer. The values stored into the concerned target row of the condition ID field 26 b, the wavelength field 26 c, the time field 26 d, the etching-processing-condition field 26 e, the evaluation-value-1 field 26 f, the evaluation-value-2 field 26 g, and the sum-total value field 26 h of the condition-result data table 26 a are respectively displayed onto a condition ID field D201, a wavelength field D202, a time field D203, an etching-processing-condition field D204, an evaluation-value-1 field D205, an evaluation-value-2 field D206, and a sum-total value field D207 illustrated in FIG. 15.

Also, a notation D208 denotes the scatter diagram illustrated in FIG. 13, where the light-emission intensity average value and the etching processing result are assumed. Here, this scatter diagram is created using the values of the wavelength and time stored into the concerned target row of the wavelength field 26 c and time field 26 d, and the values stored into the mass-production data table 23 a and the OES data table 25 a. A notation D209 denotes the scatter diagram illustrated in FIG. 14, where the etching processing condition (i.e., gas flow quantity) and the light-emission intensity average value are assumed. Here, this scatter diagram is created using the values of the wavelength and time stored into the concerned target row of the wavelength field 26 c and time field 26 d, and the values stored into the experiment data table 24 a and the OES data table 25 a.

The designer watches the output screen illustrated in FIG. 15. As a result of this watching, even if the etching processing condition is adjusted, the designer can grasp a wavelength and a time at which the prediction error of the etching processing result is small. Consequently, the designer can easily grasp which wavelength and time are suitable for the adjustment control.

Incidentally, if different etching processing conditions are inputted into each row of the etching-processing-condition field D204, the evaluation-value sum total is calculated with respect to each of these etching processing conditions. Then, the combination of a wavelength and a time at which the evaluation-value sum total is small is outputted with respect to each of these etching processing conditions. Also, the evaluation-value sum total is calculated with respect to each of these etching processing conditions. Then, the combination of a wavelength, a time, and an etching processing condition at which the evaluation-value sum total is the smallest may be outputted.

As having been explained so far, the employment of the analysis method executed by the etching apparatus 1 (analysis unit 20) of the present embodiment allows implementation of the following analysis method: Namely, the analysis method of acquiring the plasma light-emission data (i.e., experiment data) indicating light-emission intensities at a plurality of different wavelengths and times, the plasma light-emission data being measured under a plurality of different etching processing conditions such as gas flow quantities, and being obtained at the time of the etching processing, evaluating the relationship between changes in the etching processing conditions and changes in the light-emission intensities at the plurality of different wavelengths and times with respect to the wavelengths and times of the plasma light-emission data, and identifying a wavelength and a time of the plasma light-emission data based on the evaluation result, the wavelength and the time of the plasma light-emission data being to be used for the adjustment of the etching processing condition. Namely, even if the etching processing condition such as the gas flow quantity is adjusted, a wavelength and a time at which the prediction error of the etching processing result is small, i.e., the wavelength and the time which are suitable for the control over the adjustment of the etching processing condition, can be easily grasped from among a large number of wavelength candidates and time candidates.

As having been described so far, the concrete explanation has been given concerning the embodiments of the present invention. The present invention, however, is not limited to the embodiments described so far. Namely, the present invention can be modified in a variety of ways within the scope of not departing from its essence and spirit.

It should be further understood by those skilled in the art that although the foregoing description has been made on embodiments of the invention, the invention is not limited thereto and various changes and modifications may be made without departing from the spirit of the invention and the scope of the appended claims. 

1. An analysis method of identifying a wavelength and a time of plasma light-emission data, said wavelength and said time of said plasma light-emission data being to be used for the adjustment of an etching processing condition in a semiconductor etching processing for applying said etching processing to a semiconductor wafer using said plasma, said analysis method, comprising: an acquisition step of acquiring said plasma light-emission data indicating light-emission intensities at a plurality of different wavelengths and times, said plasma light-emission data being measured under a plurality of different etching processing conditions, and being obtained at the time of said etching processing; a first evaluation step of evaluating the relationship between changes in said etching processing conditions and changes in said light-emission intensities at said plurality of different wavelengths and times with respect to said wavelengths and times of said plasma light-emission data; and an identification step of identifying said wavelength and said time of said plasma light-emission data based on the result of said first evaluation step, said wavelength and said time of said plasma light-emission data being to be used for said adjustment of said etching processing condition.
 2. The analysis method according to claim 1, wherein, at said first evaluation step, said relationship between said changes in said etching processing conditions and said changes in said light-emission intensities at said plurality of different wavelengths and times with respect to said wavelengths and times of said plasma light-emission data is evaluated using a prediction error or a correlation coefficient.
 3. The analysis method according to claim 1, further comprising: a second evaluation step of evaluating the relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and the etching processing result, and wherein, at said identification step, said wavelength and said time of said plasma light-emission data are identified from said result of said first evaluation step and the result of said second evaluation step, said wavelength and said time of said plasma light-emission data being to be used for said adjustment of said etching processing condition.
 4. The analysis method according to claim 3, wherein, at said second evaluation step, said relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and said etching processing result is evaluated using a prediction error or a correlation coefficient.
 5. The analysis method according to claim 4, wherein, at said identification step, said wavelength and said time of said plasma light-emission data are identified so that a function becomes equal to its minimum value, said prediction error or said correlation coefficient at said first evaluation step and said prediction error or said correlation coefficient at said second evaluation step being used in said function.
 6. The analysis method according to claim 4, wherein said wavelength and said time of said plasma light-emission data are identified so that the sum total of said prediction error at said first evaluation step and a product becomes equal to its minimum value, said product being obtained by multiplying said prediction error at said second evaluation step by a coefficient, said coefficient indicating said relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and said etching processing result.
 7. An analysis method of calculating an adjustment value of said etching processing condition so that said adjustment value becomes equal to a target value of said etching processing result, said adjustment value being calculated using said relationship between said light-emission intensity of said plasma light-emission data at said wavelength and said time, and said etching processing result, said wavelength and said time being identified using said analysis method according to claim
 1. 8. A semiconductor etching apparatus, comprising: a plasma micromachining unit for applying an etching processing to a semiconductor wafer using plasma; an optical emission spectroscopy for measuring light-emission of said plasma during said etching processing; and an analysis unit including a memory unit and a calculation unit, wherein said memory unit memorizes said plasma light-emission data indicating light-emission intensities at a plurality of different wavelengths and times, said plasma light-emission data being measured under a plurality of different etching processing conditions, and being obtained at the time of said etching processing, said calculation unit performing a calculation of evaluating the relationship between changes in said etching processing conditions and changes in said light-emission intensities at said plurality of different wavelengths and times with respect to said wavelengths and times of said plasma light-emission data, and identifying a wavelength and a time of said plasma light-emission data based on said evaluation result (i.e., first evaluation result), said wavelength and said time of said plasma light-emission data being to be used for the adjustment of said etching processing condition.
 9. The semiconductor etching apparatus according to claim 8, wherein said calculation unit evaluates said relationship between said changes in said etching processing conditions and said changes in said light-emission intensities at said plurality of different wavelengths and times with respect to said wavelengths and times of said plasma light-emission data, using a prediction error or a correlation coefficient.
 10. The semiconductor etching apparatus according to claim 8, wherein said calculation unit evaluates the relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and the etching processing result, and identifies said wavelength and said time of said plasma light-emission data from said evaluation result (i.e., second evaluation result) and said first evaluation result, said wavelength and said time of said plasma light-emission data being to be used for said adjustment of said etching processing condition.
 11. The semiconductor etching apparatus according to claim 10, wherein said relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and said etching processing result is evaluated using a prediction error or a correlation coefficient.
 12. The semiconductor etching apparatus according to claim 11, wherein, in said identification process, said wavelength and said time of said plasma light-emission data are identified so that a function becomes equal to its minimum value, said prediction error or said correlation coefficient of said first evaluation result and said prediction error or said correlation coefficient of said second evaluation result being used in said function.
 13. The semiconductor etching apparatus according to claim 11, wherein said wavelength and said time of said plasma light-emission data are identified so that the sum total of said prediction error of said first evaluation result and a product becomes equal to its minimum value, said product being obtained by multiplying said prediction error of said second evaluation result by a coefficient, said coefficient indicating said relationship between said light-emission intensities at said plurality of different wavelengths and times of said plasma light-emission data, and said etching processing result.
 14. The semiconductor etching apparatus according to claim 8, wherein said calculation unit calculates an adjustment value of said etching processing condition so that said adjustment value becomes equal to a target value of said etching processing result, said adjustment value being calculated using said relationship between said light-emission intensity of said plasma light-emission data having said identified wavelength and said identified time, and said etching processing result, said plasma micromachining unit performing said micromachining under said etching processing condition based on said adjustment value. 